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Data Scientist

 

  • Seattle, WA
  • Permanent
  • Haddop

  • Python

  • R

  • Pig

  • MangoDB

  • Pandas

  • Job Posted: Tuesday, February 13, 2018

  • Expires On: Thursday, March 15, 2018

  • Job Type: Permanent

  • Duration: 1+ years

  • Desired Experience: 3-5 years

  • Work Authorization: Resident/Citizen, Citizen, H1-B, EAD

Role Summary:

 

As a Data Scientist at Skillgigs your role is to follow the data. Analyze, visualize, and model job search related data. You will build and implement machine learning models to make timely decisions. You will have access to unparalleled resources within Indeed to grow and develop both personally and professionally.  We are looking for a mixture between a statistician, scientist, machine learning expert and engineer: someone who has passion for building and improving Internet-scale products informed by data. The ideal candidate understands human behavior and knows what to look for in the data.

 

Role Description:

 

Work in a cross-functional team to research and build rich analytics into the ExtraHop system: investigate customer operation challenges, frame and structure questions, collect and analyze data, as well as summarize and present key insights in support of decision making
Leverage your understanding of data science rigor and experience with analytics tools to develop actionable insights using the ExtraHop system
Contribute in all phases of development starting from the design proof of concept to laying down the scalable production code
Required Skills & Experience

 

Role Requirements:

 

M.S. in a quantitative field such as Computer Science, Statistics, or Mathematics

Minimum of 4+ years professional industry experience in data science

Expertise in machine learning and statistical modeling

Passion to answer Product/Engineering questions with data

Strong ability to code in Python

Have full stack experience in data collection, aggregation, analysis, visualization, productionization, and monitoring of data science products

Are proficient in small data modeling work: Python, R, Julia, Octave

Are proficient in big data modeling work: Hadoop, Pig, Scala, Spark

Can fish for data: SQL, Pandas, MongoDB

Deploy data science solutions: Java, Python, C++